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Healthcare Cloud Computing

How Salesforce Health Cloud is Transforming Modern Hospitals

The healthcare industry faces unprecedented challenges: delivering personalized patient care, maintaining strict compliance, and optimizing operational efficiency—all while managing complex data ecosystems. Salesforce Health Cloud has won as a leading solution, empowering hospitals to meet these demands through intelligent, integrated technology. Here’s why forward-thinking healthcare organizations are adopting Health Cloud—and how it’s reshaping hospital operations. 1. Personalized Patient Engagement Today’s patients expect seamless, consumer-grade experiences from their healthcare providers. Salesforce Health Cloud enables hospitals to:✔ Deliver mobile-responsive patient portals for easy access to records and appointments.✔ Automate personalized follow-ups (e.g., medication reminders, post-visit surveys).✔ Tailor communication based on patient history and preferences. Why it matters: Engaged patients adhere better to treatment plans and report higher satisfaction—key drivers of improved outcomes. 2. Seamless Care Team Coordination Fragmented care—where specialists, nurses, and administrators work in silos—leads to inefficiencies and errors. Health Cloud connects all stakeholders on a unified platform, enabling:✔ Real-time collaboration across departments.✔ Centralized patient histories (no more chasing down records).✔ Automated task assignments and progress tracking. Why it matters: Coordinated care reduces redundancies, improves accuracy, and elevates patient trust. 3. AI-Powered Decision-Making Health Cloud goes beyond data storage—it turns information into actionable intelligence with:✔ Real-time analytics on treatment outcomes, readmission risks, and patient satisfaction.✔ Predictive tools to identify high-risk patients before complications arise.✔ Custom dashboards for performance tracking at every level. Why it matters: Data-driven decisions lead to better resource allocation, fewer errors, and higher-quality care. 4. Unified Patient Data Management Hospitals juggle EHRs, lab systems, billing software, and more—often with no integration. Health Cloud consolidates all data into a single source of truth, offering:✔ A 360-degree patient view (medical history, appointments, insurance, social determinants of health).✔ Secure, instant access for authorized providers.✔ Reduced manual entry and duplicate records. Why it matters: Disjointed data causes delays and mistakes. Centralization improves efficiency and patient safety. 5. Built-In HIPAA Compliance & Security Healthcare data breaches cost millions and erode trust. Health Cloud provides:✔ Enterprise-grade encryption and access controls.✔ Audit trails for all data interactions.✔ Pre-configured HIPAA-compliant workflows. Why it matters: Compliance isn’t optional. Health Cloud protects sensitive data without sacrificing usability. 6. Scalability for Future Growth Whether expanding services, adding telehealth, or integrating new EHRs, Health Cloud adapts effortlessly thanks to:✔ Open APIs for seamless interoperability.✔ Modular design to add features as needs evolve.✔ Cloud-based flexibility to scale across locations. Why it matters: Healthcare never stands still. A future-proof system ensures long-term success. 7. Operational Efficiency & Cost Savings Administrative waste drains hospital resources. Health Cloud automates routine tasks, including:✔ Appointment scheduling and reminders.✔ Referral management and prior authorizations.✔ Case management workflows. Why it matters: Streamlined operations cut costs, reduce staff burnout, and improve patient throughput. The Bottom Line Salesforce Health Cloud isn’t just another IT tool—it’s a strategic asset that bridges the gap between patient care and operational excellence. Hospitals leveraging its full potential see:✅ Higher patient satisfaction (through personalized engagement).✅ Stronger care team alignment (breaking down silos).✅ Smarter decision-making (powered by AI and analytics).✅ Lower compliance risks (with built-in security). As healthcare evolves, the hospitals that thrive will be those that embrace connected, intelligent platforms like Health Cloud. The question isn’t if to adopt it—but how soon your organization can start reaping the benefits. Ready to transform your hospital’s operations? Salesforce Health Cloud is the proven solution for healthcare’s toughest challenges. Contact Tectonic to learn more. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. 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health and life sciences

Top Ways AI is Transforming Patient Portal Messaging

Healthcare providers are drowning in patient messages—but AI-powered patient portals can help. By automating responses, improving clarity, and streamlining workflows, AI is easing clinician burnout while enhancing patient communication. Here’s how AI is making an impact: 1. Smart Triage: Routing Messages to the Right Person Not every message needs a physician’s attention—some are billing questions, others require nursing input. AI can: Example: 2. AI-Drafted Responses: Saving Clinicians Time Generative AI can craft clear, empathetic, and clinically accurate responses to common patient queries. Key Findings: Caveat: 3. Simplifying Medical Jargon for Better Patient Understanding Many patients struggle with complex medical terms in portal messages. AI can: Example:NYU Langone used GPT-4 to rewrite discharge summaries, making them easier to understand while scoring higher on patient education metrics. 4. Helping Patients Write Better Messages AI doesn’t just assist providers—it can guide patients to ask clearer questions, reducing back-and-forth. How it works: Vanderbilt’s study found AI-generated prompts made patient messages more concise and actionable. 5. Ethical AI Use: Transparency & Human Oversight While AI boosts efficiency, best practices matter:✅ Always review AI responses before sending.✅ Edit for tone—patients value empathy and a personal touch.✅ Consider disclosing AI use—studies (like Duke’s 2025 review) show it doesn’t harm satisfaction. “AI can reduce burnout while maintaining trust—if used responsibly.”—Dr. Anand Chowdhury, Duke University The Future of AI in Patient Portals As AI evolves, expect: The Bottom Line:AI won’t replace clinicians—but it can free them from repetitive tasks, allowing more time for meaningful patient care. Ready to explore AI for your patient portal? Start with triage automation and AI-assisted drafting, then scale as trust in the technology grows. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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Analytics tools like Einstein Analytics can identify patterns and trends in patient data, helping healthcare providers optimize workflows and improve the effectiveness of care delivery.

Healthcare Payers Turn to Data Analytics for Cost Savings and Improved Outcomes

Facing persistent financial and staffing pressures, healthcare payers are increasingly adopting data analytics platforms to streamline operations, reduce costs, and enhance member outcomes. A new April 2025 report from KLAS Research offers its first evaluation of payer experiences with these solutions, highlighting key vendors and emerging trends. The Growing Role of Data Analytics in Payer Operations With healthcare organizations under constant pressure to improve efficiency and decision-making, data analytics tools provide critical visibility into claims data, utilization patterns, and financial performance. These platforms enable payers to: While KLAS’ research in this space is still evolving, the initial report assesses three leading vendors, with plans to expand coverage as more data becomes available. Key Vendor Performances 1. MedInsight – Best in KLAS 2025 (Score: 85.8) 2. MedeAnalytics (Score: 87.1) 3. Clarify Health Solutions 4. Salesforce Health Cloud Looking Ahead: Expanding the Vendor Landscape Additional players like CareJourney (acquired by Arcadia in 2024), Cedar Gate Technologies, and Cognizant are expected to be evaluated in future KLAS reports as more performance data emerges. The Bottom Line As payers seek greater efficiency and data-driven decision-making, analytics platforms are becoming indispensable. While MedInsight and MedeAnalytics lead in early adoption, the competitive landscape is still evolving—making future KLAS insights critical for payer organizations evaluating their options. Next Steps: With the right analytics partner, payers can unlock cost savings, operational efficiencies, and better member outcomes—key priorities in today’s challenging healthcare environment. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Transforming Healthcare with Salesforce CRM For healthcare providers, adopting a CRM platform like Salesforce Health Cloud is invaluable for managing vast amounts of patient data effectively. Health Cloud empowers healthcare professionals to create personalized, one-to-one patient journeys, enabling a deep understanding of each patient’s needs, medical history, and preferences. This approach not only fosters a patient-friendly experience but also builds a strong rapport, ensuring that patients feel valued and understood. Health Cloud also facilitates seamless collaboration among healthcare providers across different departments. When patients require support from multiple professionals, the platform ensures coordinated, comprehensive care that considers their complete medical history. This collaborative approach strengthens patient trust and streamlines operations, demonstrating a provider’s commitment to patient-centered care. As healthcare organizations strive to meet rising patient expectations, Salesforce is at the forefront of driving transformative changes. Leveraging Salesforce cloud solutions allows providers to manage patient data efficiently, deliver higher-quality care, and turn industry challenges into opportunities for improvement. Salesforce CRM has significantly boosted patient engagement and satisfaction within the healthcare sector. By automating repetitive, manual tasks, Salesforce CRM enables healthcare professionals to devote more time to patient care. Tools like Patient Management Software

Healthcare’s Trust Crisis

Healthcare’s Trust Crisis: How Medical Misinformation Is Winning Over Young Patients New data from Edelman’s 2025 Trust and Health Report reveals a troubling shift: Patients—especially young adults—are increasingly dismissing medical professionals in favor of advice from family, friends, and social media influencers. The result? A growing medical misinformation epidemic that puts patient safety at risk. Young Patients Are Turning Away from Doctors—With Dangerous Consequences Even more alarming? 45% of young patients believe that “someone who’s done their own research can know as much as a doctor.” (Only 22% of adults over 55 agree.) The High Cost of Misinformation While social media and personal networks may feel more relatable, they lack the rigorous training of medical professionals—leading to dangerous misconceptions. Richard Edelman, CEO of Edelman, warns: “Personal experiences on social media now rival the believability of data from doctors and government. We must flood the digital space with fact-based, easy-to-understand health information—before misinformation does more harm.” Who Do Patients Actually Trust? While doctors remain the #1 trusted source (82%), patients also crave human connection: Jennifer Hauser, Edelman’s Global Health Co-Chair, explains: “Patients don’t just want textbook answers—they want to feel seen and understood. Credentials matter, but emotional trust matters just as much.” How Healthcare Can Fight Back To regain trust, medical professionals must:✅ Speak in plain language—not medical jargon.✅ Leverage relatable storytellers (like survivors or patient advocates) to share accurate info.✅ Meet patients where they are—using social media, influencers, and community voices to counter misinformation. The Bottom Line The battle against medical misinformation isn’t just about facts vs. falsehoods—it’s about who communicates them. If healthcare doesn’t adapt, trust will keep eroding, and patient safety will pay the price. The time to act is now. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Salesforce and Healthcare

Aligning Payers and Providers for True Patient-Centered Care

Patient-centered care is an approach to healthcare that prioritizes the patient’s needs, values, and preferences. It involves treating patients with respect, dignity, and compassion, and ensuring that they are actively involved in their own healthcare decisions. Key Principles of Patient-Centered Care: Benefits of Patient-Centered Care: Improved patient satisfaction and adherence to treatment plans, Enhanced health outcomes, Reduced healthcare costs, and Stronger patient-provider relationships. Examples of Patient-Centered Care: Patient-centered care is a holistic approach to healthcare that focuses on the patient as an individual. By empowering patients and respecting their needs, it aims to improve their health and overall well-being. The Shared Vision vs. Systemic Barriers All healthcare stakeholders agree on one fundamental principle: care should revolve around patients’ needs and preferences. Yet despite this shared goal, competing priorities between payers and providers often create friction that undermines patient-centered care delivery. Theresa Dreyer of the Health Care Transformation Task Force observes: “Payers and providers both want patients to receive accessible, appropriate care. But the current system’s structure frequently puts these groups at odds.” Defining Patient-Centered Care At its core, patient-centered care means: “Imagine the care you’d want for your own family members,” Dreyer suggests. “That’s the standard we should apply across healthcare.” The Fee-for-Service Roadblock The dominant fee-for-service (FFS) model creates inherent conflicts: “FFS turns cost containment into a zero-sum negotiation,” Dreyer explains. “Value-based models offer a collaborative alternative.” Value-Based Care as the Unifying Framework 1. Quality-Focused Contracting 2. Streamlined Prior Authorization 3. Holistic Care Integration The Preventive Care Imperative The long-term nature of prevention creates systemic challenges: “Diabetes management today prevents kidney failure tomorrow,” Dreyer notes. “We need payment models that reward this foresight.” Building Collaborative Solutions For Payers: For Providers: Joint Opportunities: The Path Forward The healthcare industry stands at an inflection point. By embracing value-based models that: Payers and providers can transform their relationship from adversarial to collaborative—with patients as the ultimate beneficiaries. As Dreyer concludes: “Beyond the contracting details and quality metrics, we must remember our shared purpose: helping people achieve and maintain health. When we center that mission, the rest follows.” Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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The Rise of AI Agents: 2024 and Beyond

The Rise of AI Agents: 2024 and Beyond

In 2024, we witnessed major breakthroughs in AI agents. OpenAI’s o1 and o3 models demonstrated the ability to deconstruct complex tasks, while Claude 3.5 showcased AI’s capacity to interact with computers like humans—navigating interfaces and running software. These advancements, alongside improvements in memory and learning systems, are pushing AI beyond simple chat interactions into the realm of autonomous systems. AI agents are already making an impact in specialized fields, including legal analysis, scientific research, and technical support. While they excel in structured environments with defined rules, they still struggle with unpredictable scenarios and open-ended challenges. Their success rates drop significantly when handling exceptions or adapting to dynamic conditions. The field is evolving from conversational AI to intelligent systems capable of reasoning and independent action. Each step forward demands greater computational power and introduces new technical challenges. This article explores how AI agents function, their current capabilities, and the infrastructure required to ensure their reliability. What is an AI Agent? An AI agent is a system designed to reason through problems, plan solutions, and execute tasks using external tools. Unlike traditional AI models that simply respond to prompts, agents possess: Understanding the shift from passive responders to autonomous agents is key to grasping the opportunities and challenges ahead. Let’s explore the breakthroughs that have fueled this transformation. 2024’s Key Breakthroughs OpenAI o3’s High Score on the ARC-AGI Benchmark Three pivotal advancements in 2024 set the stage for autonomous AI agents: AI Agents in Action These capabilities are already yielding practical applications. As Reid Hoffman observed, we are seeing the emergence of specialized AI agents that extend human capabilities across various industries: Recent research from Sierra highlights the rapid maturation of these systems. AI agents are transitioning from experimental prototypes to real-world deployment, capable of handling complex business rules while engaging in natural conversations. The Road Ahead: Key Questions As AI agents continue to evolve, three critical questions for us all emerge: The next wave of AI innovation will be defined by how well we address these challenges. By building robust systems that balance autonomy with oversight, we can unlock the full potential of AI agents in the years ahead. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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HIPAA

Salesforce HIPAA Compliance

Compliance plays a critical role in managing sensitive information, especially under regulations like the Health Insurance Portability and Accountability Act (HIPAA). Salesforce HIPAA Compliance. Enacted in 1996, HIPAA establishes national standards for safeguarding sensitive health information. Organizations and individuals who store, manage, or transmit healthcare data are subject to these regulations, which prioritize the confidentiality, integrity, and availability of patient information. While Salesforce provides tools to support HIPAA compliance, the responsibility for ensuring compliance ultimately lies with the data-processing organization or individual—not solely the platform itself. This insight explores Salesforce’s role in HIPAA compliance, key features for safeguarding electronic Protected Health Information (ePHI), and best practices for adhering to regulatory requirements. Understanding HIPAA Salesforce’s flexibility as a CRM platform allows it to serve industries that require HIPAA compliance, particularly healthcare and life sciences. At its core, HIPAA protects Protected Health Information (PHI)—any patient-identifiable information in medical records. PHI extends beyond traditional medical data to include names, addresses, birth dates, Social Security numbers, and more. When PHI is managed or transmitted electronically, it’s classified as electronic Protected Health Information (ePHI), which is subject to additional safeguards. Entities Covered by HIPAA HIPAA applies to several types of entities: While Salesforce is classified as a Business Associate, organizations using the platform remain responsible for adhering to HIPAA’s security requirements. Salesforce and the Business Associate Agreement (BAA) As a Business Associate, Salesforce must enter into a Business Associate Agreement (BAA) with healthcare organizations and other Covered Entities to define responsibilities and security measures for handling ePHI. The BAA outlines the Salesforce features and services eligible for HIPAA compliance. Notably: Without a signed BAA, organizations face significant penalties for HIPAA violations, even in the absence of a data breach. HIPAA-Compliant Salesforce Solutions Salesforce offers various solutions and features to support HIPAA compliance. These are categorized into platform security measures and specific compliant services: Key Security Features HIPAA-Compliant Services It’s important to note that not all Salesforce features are HIPAA-compliant, and proper configuration is critical to ensure compliance. Restrictions and Challenges While Salesforce offers robust security tools, some limitations and risks exist: Additionally, some Salesforce services, like certain social or mobile features in Health Cloud, are not compliant by default and require explicit mention in the BAA to be used with ePHI. Best Practices for HIPAA Compliance To maximize HIPAA compliance with Salesforce, organizations should: HIPAA Compliance Checklist Here’s a concise checklist to guide your HIPAA compliance efforts: Leveraging Third-Party Tools Solutions like GRAX can enhance HIPAA compliance in Salesforce by adding capabilities such as data backup, archiving, and recovery. GRAX’s security features include: However, integrating third-party solutions requires careful vetting to avoid compliance risks. Salesforce HIPAA Compliance Salesforce is a powerful tool for healthcare organizations, but achieving HIPAA compliance requires understanding its capabilities and limitations. A well-configured Salesforce environment, combined with diligent user management and third-party tools, can help organizations meet regulatory requirements while safeguarding patient data. By embracing best practices and staying informed about shared responsibilities, organizations can ensure HIPAA compliance, avoid penalties, and build trust with patients and stakeholders. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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AI-Powered Smarter Media

AI Transforming Precision Medicine

How AI-Driven Data Curation is Transforming Precision Medicine Precision medicine—a healthcare approach that personalizes disease prevention and treatment based on insights into a patient’s genes, environment, and behavior—holds incredible promise. However, its success depends on high-quality, curated data from sources like electronic health records (EHRs). This reliance creates significant challenges for healthcare providers and researchers. Can artificial intelligence (AI) help address these hurdles? AI-enabled data curation is already making strides in advancing precision medicine, particularly in oncology. By analyzing vast datasets, including structured and unstructured information, AI is helping healthcare organizations accelerate research and improve patient outcomes. Data Curation Challenges in Precision Medicine Real-world data (RWD) is a key driver of precision medicine, but processing this data is fraught with challenges. According to Dr. C.K. Wang, Chief Medical Officer at COTA, Inc., EHRs provide unprecedented access to detailed patient information, enabling deeper insights into care patterns. However, much of this data resides in unstructured formats, such as clinicians’ notes, making it difficult to extract and analyze. “To transform this unstructured data into actionable insights, significant human expertise and resources are required,” Wang explained. While AI tools like COTA’s CAILIN, which uses advanced search capabilities, streamline this process, human involvement remains essential. Wang emphasized that even with the rapid advancements in AI, healthcare data curation requires expert oversight to ensure quality and reliability. “The adage ‘junk in, junk out’ applies here—without high-quality training data, AI cannot generate meaningful insights,” he noted. PHI and COTA: A Collaborative Approach to AI-Driven Curation To overcome these challenges, Precision Health Informatics (PHI), a subsidiary of Texas Oncology, partnered with COTA to enhance their data curation capabilities. The collaboration aims to integrate structured and unstructured data, including clinician notes and patient-reported outcomes, into a unified resource for precision medicine. PHI’s database, which represents 1.6 million patient journeys, provides a rich resource for hypothesis-driven studies and clinical trial enrichment. However, much of this data was siloed or unstructured, requiring advanced tools and expert intervention. Lori Brisbin, Chief Operating Officer at PHI, highlighted the importance of partnering with a data analytics leader. “COTA’s strong clinical knowledge in oncology allowed them to identify data gaps and recommend improvements,” she said. This partnership is yielding significant results, including a high data attrition rate of 87%—far surpassing the industry average of 50% for similar projects. The Role of AI in Cancer Care AI tools like CAILIN are helping PHI and COTA refine data curation processes by: Brisbin likened the role of AI to sorting images: “If you’re looking for German shepherds, AI will narrow the search but might include similar images, like wolves or huskies. Experts are still needed to validate and refine the results.” Building the Foundation for Better Outcomes The integration of high-quality RWD into analytics efforts is reshaping precision medicine. While clinical trial data offers valuable insights, it often lacks the variability seen in real-world scenarios. Adding RWD to these datasets helps expand the scope of research and ensure broader applicability. For instance, cancer care guidelines developed with RWD can account for diverse patient populations and treatment approaches. COTA’s work with PHI underscores the value of collaborative data curation, with AI streamlining processes and human experts ensuring accuracy. The Future of AI in Precision Medicine As healthcare organizations invest in data-driven innovation, AI will play an increasingly pivotal role in enabling precision medicine. However, challenges remain. Wang noted that gaps in EHR data, such as missing survival metrics, can undermine oncological outcomes research. Advances in interoperability and external data sources will be key to addressing these issues. “The foundation of our partnership is built on leveraging data insights to enhance care quality and improve operational efficiency,” Wang said. Through AI-powered tools and meaningful partnerships, precision medicine is poised to deliver transformative results, empowering providers to offer tailored treatments that improve patient outcomes at scale. Like Related Posts Who is Salesforce? Who is Salesforce? 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Standards in Healthcare Cybersecurity

Deploying Large Language Models in Healthcare

Study Identifies Cost-Effective Strategies for Deploying Large Language Models in Healthcare Efficient deployment of large language models (LLMs) at scale in healthcare can streamline clinical workflows and reduce costs by up to 17 times without compromising reliability, according to a study published in NPJ Digital Medicine by researchers at the Icahn School of Medicine at Mount Sinai. The research highlights the potential of LLMs to enhance clinical operations while addressing the financial and computational hurdles healthcare organizations face in scaling these technologies. To investigate solutions, the team evaluated 10 LLMs of varying sizes and capacities using real-world patient data. The models were tested on chained queries and increasingly complex clinical notes, with outputs assessed for accuracy, formatting quality, and adherence to clinical instructions. “Our study was driven by the need to identify practical ways to cut costs while maintaining performance, enabling health systems to confidently adopt LLMs at scale,” said Dr. Eyal Klang, director of the Generative AI Research Program at Icahn Mount Sinai. “We aimed to stress-test these models, evaluating their ability to manage multiple tasks simultaneously and identifying strategies to balance performance and affordability.” The team conducted over 300,000 experiments, finding that high-capacity models like Meta’s Llama-3-70B and GPT-4 Turbo 128k performed best, maintaining high accuracy and low failure rates. However, performance began to degrade as task volume and complexity increased, particularly beyond 50 tasks involving large prompts. The study further revealed that grouping tasks—such as identifying patients for preventive screenings, analyzing medication safety, and matching patients for clinical trials—enabled LLMs to handle up to 50 simultaneous tasks without significant accuracy loss. This strategy also led to dramatic cost savings, with API costs reduced by up to 17-fold, offering a pathway for health systems to save millions annually. “Understanding where these models reach their cognitive limits is critical for ensuring reliability and operational stability,” said Dr. Girish N. Nadkarni, co-senior author and director of The Charles Bronfman Institute of Personalized Medicine. “Our findings pave the way for the integration of generative AI in hospitals while accounting for real-world constraints.” Beyond cost efficiency, the study underscores the potential of LLMs to automate key tasks, conserve resources, and free up healthcare providers to focus more on patient care. “This research highlights how AI can transform healthcare operations. Grouping tasks not only cuts costs but also optimizes resources that can be redirected toward improving patient outcomes,” said Dr. David L. Reich, co-author and chief clinical officer of the Mount Sinai Health System. The research team plans to explore how LLMs perform in live clinical environments and assess emerging models to determine whether advancements in AI technology can expand their cognitive thresholds. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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AI-Driven Care Coordination Software

AI-Driven Care Coordination Software

Can AI-Driven Care Coordination Software Improve Workflows? University Hospitals is leveraging AI to enhance care coordination across its network of 13 hospitals and numerous outpatient settings. This effort highlights the transformative potential of AI-driven platforms in streamlining workflows, improving patient outcomes, and addressing clinician burnout. The Role of AI in Care Coordination Care coordination ensures seamless collaboration between healthcare providers, aiming for safe, appropriate, and effective treatment. Effective information-sharing can: According to the U.S. Centers for Medicare & Medicaid Services (CMS), poor care coordination can lead to: The Agency for Healthcare Research and Quality (AHRQ) advocates for a mix of technology adoption and care-specific strategies, such as proactive care plans tailored to patient needs. While electronic health records (EHRs) aid in these efforts, AI’s ability to analyze vast data sets positions it as the next evolution in care coordination. University Hospitals’ AI Initiative University Hospitals has partnered with Aidoc to deploy its AI-powered platform, aiOS, to improve radiology and care coordination workflows. Chair of Radiology Donna Plecha shared insights on how AI is already assisting in their operations: Best Practices for Implementing AI 1. Identify High-Value Use Cases: 2. Conduct Architectural Reviews: 3. Monitor ROI and Metrics: 4. Gain Clinician Buy-In: Looking Ahead AI is proving to be a valuable tool in care coordination, but its adoption requires realistic expectations and a thoughtful approach. Plecha underscores that AI won’t replace radiologists but will empower those who embrace it. As healthcare faces increasing patient volumes and clinician shortages, leveraging AI to reduce workloads and enhance care quality is becoming a necessity. With ongoing evaluations and phased implementations, University Hospitals is setting a precedent for how AI can drive innovation in care coordination while maintaining clinician oversight and patient trust. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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Enhancing OR Efficiency with Ambient Sensor Technology

Enhancing OR Efficiency with Ambient Sensor Technology

Implementing ambient sensors in ORs can be challenging, as clinicians may feel uneasy about being recorded. Schwartz noted that emphasizing the benefits of the technology—such as improved accuracy and streamlined communication—has been essential in gaining clinician acceptance. DeDominico highlighted that the AI’s ability to send clinicians relevant updates, such as when a patient is ready for surgery, has increased clinician satisfaction by reducing unnecessary waiting.

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AI-Driven Healthcare Approvals

AI-Driven Healthcare Approvals

Salesforce and Blue Shield of California are launching an AI-driven system to streamline healthcare approvals, aiming to cut down prior authorization wait times from weeks to, potentially, the same day. This partnership, leveraging Salesforce’s healthcare cloud, integrates patient data to streamline approvals while retaining clinician oversight, ensuring AI decisions are always reviewed by a human expert.

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Cyber Insurance

Cyber Insurance

Navigating Cyber Insurance in an Evolving Threat Landscape The rapidly shifting cyberthreat landscape presents unique challenges for healthcare organizations and underwriters navigating cyber insurance coverage decisions. Cyber liability insurance plays a crucial role in shielding healthcare providers from the mounting costs associated with data breaches and cyberattacks, which now average $9.77 million per incident in the healthcare sector, according to IBM. The Challenges of Retaining Cyber Insurance Healthcare, among other heavily targeted sectors, faces difficulties in securing and maintaining affordable cyber insurance. The constantly evolving threat landscape impacts risk profiles, which drives up premiums and complicates coverage retention. Although year-over-year premium growth plateaued in the U.S. in 2023, 79% of respondents in a Delinea survey still reported increased insurance costs, with 67% experiencing premium hikes between 50% and 100%. As high-profile healthcare cyberattacks and increasing cyber risks persist, navigating the insurance landscape remains a significant challenge. Additionally, the lag in processing claims makes it difficult to anticipate how underwriters will respond to these changing threats. How the Evolving Threat Landscape Impacts Cyber Insurance Obtaining adequate cyber insurance coverage can be challenging in today’s risk-heavy environment. Unlike traditional insurance, where risks remain static, cyber risks constantly evolve to counteract security controls. “Cyber insurance risk adjusters face a unique challenge; unlike fires, which aren’t actively trying to burn you in new ways, cyberthreats are constantly adapting to bypass existing protections,” said Christopher Henderson, senior director of threat operations at Huntress. This continuous adaptation often means that by the time underwriting is complete, a risk assessment may already be outdated. Shifts in the threat landscape are driving changes in cyber insurance questionnaires. While in 2023 insurers focused on remote access tools, vulnerability management, and administrative access controls, the focus in 2024 shifted to include multifactor authentication (MFA) and identity-based attack prevention. This shift highlights the need for organizations to adapt to new requirements in cyber insurance as cybercriminals add new tactics to their playbooks. Adapting Insurance to Emerging Threats As cyberthreat tactics evolve, insurers may adjust policy terms to keep pace with the latest risks. Henderson suggests that insurers could move toward shorter underwriting cycles, possibly even six-month periods, to better align with the rapidly shifting cyber landscape. Mitigating Risk and Controlling Cyber Costs Several factors influence cyber insurance premiums, including organizational size and security posture. For healthcare providers, adhering to industry standards like SOC 2 and ISO 27001 can demonstrate compliance with best practices, improving coverage terms and potentially lowering premiums. Healthcare organizations using the NIST Cybersecurity Framework (CSF) as their primary security standard reported lower premium increases compared to those without this framework, according to a 2024 report by KLAS Research, Censinet, and the American Hospital Association. Henderson emphasizes the importance of layering new strategies with proven, traditional ones: “While staying vigilant against newer tactics like social engineering and identity-based attacks, maintaining consistent, auditable identity verification and MFA protocols remains crucial.” Despite upfront costs, cyber insurance can significantly reduce financial impact during cybersecurity incidents. For example, a 2024 Sophos report found that organizations with cyber insurance saw an average ransomware recovery cost of $2.94 million compared to $3.48 million for those without coverage. Navigating cyber insurance can be complex for healthcare organizations, but careful attention to risks and proactive security measures can help them secure the right coverage at sustainable rates. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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